NDLI: Emergency online attention and psychological distance under risk

Please wait, while we are loading the content...

Effective situational awareness to wildfire emergency command based on multi-model forecasting system

How to find environmental risk factors of zoonotic infectious disease quickly

Emergency online attention and psychological distance under risk

Composition of simulation data for large-scale disaster estimation

A scenario-based case representation model in spatio-temporal framework

Assessment for spatial driving forces of HFMD prevalence in Beijing, China

Event-driven data mining methods for large-scale market prediction: a case study of an agricultural products company

CPS model based online opinion governance modeling and evaluation of emergency accidents

Offline crisis mapping by opportunistic dissemination of crisis data after large-scale disasters

Research of spatial distribution rules of mass incidents based on GIS

A GIS-based urban vulnerability and emergency response research after an earthquake disaster

Calibrating car-following model with trajectory data by cell phone

An entropy-based framework for efficient post-disaster assessment based on crowdsourced data

Smart navigation and dynamic path planning of a micro-jet in a post disaster scenario

The phenomenon of geolocation aggregation of city nodes community partition in network of WeChat

On storing and retrieving geospatial big-data in cloud

Emergency online attention and psychological distance under risk

Content Provider	ACM Digital Library
Author	Deng, Xiaolong Deng, Qing Liu, Yi Li, Lihua Zhang, Hui
Abstract	Risk communication is an effective means of emergency management. Online information plays an important role in risk communication, especially in the Big Data Era. Citizens' psychology to send and receive information determines their online behavior when they face risk. Using the Tianjin Port Explosions as an example, multiple linear regression analysis is used to untangle the relationship between online attention and psychology behavior under risk. Citizens' online attention is estimated by social media data collection from the Sina Weibo. Psychology behavior is quantified by psychological distance which consists of four dimensions: spatial distance, temporal distance, social distance and probability. The regression model is built via SPSS 20.0 and the obtained result is matched with actual situation. It indicates that online attention is negatively correlated to spatial distance, temporal distance and social distance while positively correlated to probability of the event. It also shows that citizens' online attention under risk is positively correlated to their online attention under normal circumstance. Based on the regression model, citizens' attention and response to emergency are easy to be assessed.
Starting Page	1
Ending Page	6
Page Count	6
File Format	PDF
ISBN	9781450345804
DOI	10.1145/3017611.3017614
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-10-31
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Explosion Emergency management Psychological distance Online information propagation Online attention
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in